| --- |
| language: |
| - id |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - google/fleurs |
| - indonesian-nlp/librivox-indonesia |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| - cer |
| model-index: |
| - name: Whisper Medium ID - FLEURS-CV-LBV - Augmented |
| results: |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: google/fleurs |
| type: google/fleurs |
| config: id_id |
| split: test |
| metrics: |
| - type: wer |
| value: 7.17 |
| name: WER |
| - type: cer |
| value: 2.39 |
| name: CER |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: id |
| split: test |
| metrics: |
| - type: wer |
| value: 7.59 |
| name: WER |
| - type: cer |
| value: 2.33 |
| name: CER |
| - task: |
| type: automatic-speech-recognition |
| name: Automatic Speech Recognition |
| dataset: |
| name: indonesian-nlp/librivox-indonesia |
| type: indonesian-nlp/librivox-indonesia |
| config: ind |
| split: test |
| metrics: |
| - type: wer |
| value: 6.07 |
| name: WER |
| - type: cer |
| value: 1.84 |
| name: CER |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Whisper Medium ID - FLEURS-CV-LBV - Augmented |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the following datasets: |
| - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) |
| - [google/fleurs](https://huggingface.co/datasets/google/fleurs) |
| - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) |
|
|
| It achieves the following results on the evaluation set (Common Voice 11.0): |
| - Loss: 0.2788 |
| - Wer: 7.6132 |
| - Cer: 2.3332 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| Training: |
| - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (train+validation) |
| - [google/fleurs](https://huggingface.co/datasets/google/fleurs) (train+validation) |
| - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) (train) |
|
|
| Evaluation: |
| - [mozilla-foundation/common_voice_11_0](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) (test) |
| - [google/fleurs](https://huggingface.co/datasets/google/fleurs) (test) |
| - [indonesian-nlp/librivox-indonesia](https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia) (test) |
|
|
| ## Training procedure |
|
|
| Datasets were augmented on-the-fly using [audiomentations](https://github.com/iver56/audiomentations) via PitchShift, AddGaussianNoise and TimeStretch transformations at `p=0.3`. |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 10000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:| |
| | 0.3002 | 1.9 | 1000 | 0.1659 | 8.1850 | 2.5333 | |
| | 0.0514 | 3.8 | 2000 | 0.1818 | 8.0559 | 2.5244 | |
| | 0.0145 | 5.7 | 3000 | 0.2150 | 7.8945 | 2.5281 | |
| | 0.0037 | 7.6 | 4000 | 0.2248 | 7.7100 | 2.3738 | |
| | 0.0016 | 9.51 | 5000 | 0.2402 | 7.6224 | 2.3591 | |
| | 0.0009 | 11.41 | 6000 | 0.2525 | 7.7654 | 2.3952 | |
| | 0.0005 | 13.31 | 7000 | 0.2609 | 7.5994 | 2.3487 | |
| | 0.0008 | 15.21 | 8000 | 0.2682 | 7.5855 | 2.3347 | |
| | 0.0002 | 17.11 | 9000 | 0.2756 | 7.6178 | 2.3288 | |
| | 0.0002 | 19.01 | 10000 | 0.2788 | 7.6132 | 2.3332 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
| |
